Performance Evaluation and Comparison of Solar Cell Technologies Based on Historical Data
| Autor: | Pantazis, Y., Kalligiannaki, E., Kamarianakis, Y., Kotsovos, K., Gereige, I., Abdullah, M., Tzavaras, A., Katsaounis, T. |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| DOI: | 10.4229/wcpec-82022-3bv.3.28 |
| Popis: | 8th World Conference on Photovoltaic Energy Conversion; 691-694 In the current work we study the performance of three photovoltaic (PV) cell technologies under real operating conditions and five years of observations. The measurements are in Saudi Arabia, a challenging place for solar panels' performance as they often operate at temperatures far beyond the Standard Test Conditions (STC). We perform statistical comparisons between the three solar cell technologies (Back-Contact, Hetero-Junction, and Aluminum Back Surface Field) and estimate each PV cell's efficiency. Towards this purpose, we employ statistical and machine learning tools. We use two approaches for cell technology comparisons. The first is non-parametric and depends only on the energy yield output. The second approach is parametric, and a linear model between the energy yield and the irradiance is learned, with stationary and time-varying coefficients. The energy output differences between the cell technologies were small but statistically significant. We conclude that the highest average power output is given by the BC technology, followed by the HJT and the AlBSF technologies. Additionally, we quantify the deterioration of the cell performance over time and the variations due to seasonal factors. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|